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- short-paper
Prediction of the Realisation of an Information Need: An EEG Study
SIGIR '24: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval•July 2024, pp 2584-2588• https://doi.org/10.1145/3626772.3657981One of the foundational goals of Information Retrieval (IR) is to satisfy searchers' Information Needs (IN). Understanding how INs physically manifest has long been a complex and elusive process. However, recent studies utilising Electroencephalography (...
- research-article
ELASTIC: numerical reasoning with adaptive symbolic compiler
NIPS '22: Proceedings of the 36th International Conference on Neural Information Processing Systems•November 2022, Article No.: 919, pp 12647-12661Numerical reasoning over text is a challenging task of Artificial Intelligence (AI), requiring reading comprehension and numerical reasoning abilities. Previous approaches use numerical reasoning programs to represent the reasoning process. However, most ...
- Article
What Song Am I Thinking Of?
Machine Learning, Optimization, and Data Science•September 2023, pp 418-432• https://doi.org/10.1007/978-3-031-53966-4_31AbstractInformation Need (IN) is a complex phenomenon due to the difficulty experienced when realising and formulating it into a query format. This leads to a semantic gap between the IN and its representation (e.g., the query). Studies have investigated ...
- Article
On Channel Selection for EEG-Based Mental Workload Classification
Machine Learning, Optimization, and Data Science•September 2023, pp 403-417• https://doi.org/10.1007/978-3-031-53966-4_30AbstractElectroencephalogram (EEG) is a non-invasive technology with high temporal resolution, widely used in Brain-Computer Interfaces (BCIs) for mental workload (MWL) classification. However, numerous EEG channels in current devices can make them bulky, ...
- Article
On Ensemble Learning for Mental Workload Classification
Machine Learning, Optimization, and Data Science•September 2023, pp 358-372• https://doi.org/10.1007/978-3-031-53966-4_27AbstractThe ability to determine a subject’s Mental Work Load (MWL) has a wide range of significant applications within modern working environments. In recent years, techniques such as Electroencephalography (EEG) have come to the forefront of MWL ...
- research-article
Understanding Feeling-of-Knowing in Information Search: An EEG Study
ACM Transactions on Information Systems, Volume 42, Issue 3•May 2024, Article No.: 79, pp 1-30 • https://doi.org/10.1145/3611384The realisation and the variability of information needs (IN) with respect to a searcher’s gap in knowledge is driven by the perceived Anomalous State of Knowledge (ASK). The concept of Feeling-of-Knowing (FOK), as the introspective feeling of knowledge ...
- short-paper
Podify: A Podcast Streaming Platform with Automatic Logging of User Behaviour for Academic Research
SIGIR '23: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval•July 2023, pp 3215-3219• https://doi.org/10.1145/3539618.3591824Podcasts are spoken documents that, in recent years, have gained widespread popularity. Despite the growing research interest in this domain, conducting user studies remains challenging due to the lack of datasets that include user behaviour. In ...
- research-article
Why People Skip Music? On Predicting Music Skips using Deep Reinforcement Learning
CHIIR '23: Proceedings of the 2023 Conference on Human Information Interaction and Retrieval•March 2023, pp 95-106• https://doi.org/10.1145/3576840.3578312Music recommender systems are an integral part of our daily life. Recent research has seen a significant effort around black-box recommender based approaches such as Deep Reinforcement Learning (DRL). These advances have led, together with the ...
- Article
Revisiting Neurological Aspects of Relevance: An EEG Study
Machine Learning, Optimization, and Data Science•September 2022, pp 549-563• https://doi.org/10.1007/978-3-031-25891-6_41AbstractRelevance is a key topic in Information Retrieval (IR). It indicates how well the information retrieved by the search engine meets the user’s information need (IN). Despite research advances in the past decades, the use of brain imaging techniques ...
- Article
Confidence as Part of Searcher’s Cognitive Context
Machine Learning, Optimization, and Data Science•September 2022, pp 510-524• https://doi.org/10.1007/978-3-031-25891-6_39AbstractA growing body of interdisciplinary NeuraSearch research in the Information Retrieval (IR) domain, built on the investigations evaluating searchers’ neurophysiological activity captured during the information search interactions, advances the ...
- Article
Role of Punctuation in Semantic Mapping Between Brain and Transformer Models
Machine Learning, Optimization, and Data Science•September 2022, pp 458-472• https://doi.org/10.1007/978-3-031-25891-6_35AbstractModern neural networks specialised in natural language processing (NLP) are not implemented with any explicit rules regarding language. It has been hypothesised that they might learn something generic about language. Because of this property much ...
- Article
Neural Correlates of Satisfaction of an Information Need
Machine Learning, Optimization, and Data Science•September 2022, pp 443-457• https://doi.org/10.1007/978-3-031-25891-6_34AbstractKnowing when a searcher’s information needs (IN) are satisfied is one of the ultimate goals in information retrieval. However, the psycho-physiological manifestation of the phenomenon remains unclear. In this study, we investigate brain ...
- Article
On Time Series Cross-Validation for Deep Learning Classification Model of Mental Workload Levels Based on EEG Signals
Machine Learning, Optimization, and Data Science•September 2022, pp 402-416• https://doi.org/10.1007/978-3-031-25891-6_30AbstractThe determination of a subject’s mental workload (MWL) from an electroencephalogram (EEG) is a well-studied area in the brain-computer interface (BCI) field. A high MWL level can significantly contribute to mental fatigue, decreased performance, ...
- research-article
White Box: On the Prediction of Collaborative Filtering Recommendation Systems’ Performance
ACM Transactions on Internet Technology, Volume 23, Issue 1•February 2023, Article No.: 8, pp 1-29 • https://doi.org/10.1145/3554979Collaborative Filtering (CF) recommendation algorithms are a popular solution to the information overload problem, aiding users in the item selection process. Relevant research has long focused on refining and improving these models to produce better (...
- research-article
Drivers of Information Needs: A Behavioural Study – Exploring Searcher's Feeling-of-Knowing
ICTIR '22: Proceedings of the 2022 ACM SIGIR International Conference on Theory of Information Retrieval•August 2022, pp 171-181• https://doi.org/10.1145/3539813.3545125The searcher's realisation of Information Need (IN) in Information Retrieval (IR) is triggered by a perception of the knowledge gap the searcher perceives. Introspective epistemic (knowledge) feelings are evoked, describing the state of the user's ...
- research-article
Information Need Awareness: An EEG Study
SIGIR '22: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval•July 2022, pp 610-621• https://doi.org/10.1145/3477495.3531999A fundamental goal of Information Retrieval (IR) is to satisfy searchers' information need (IN). Advances in neuroimaging technologies have allowed for interdisciplinary research to investigate the brain activity associated with the realisation of IN. ...
- Article
An Initial Analysis of E-Procurement Search Behaviour
Information for a Better World: Shaping the Global Future•February 2022, pp 3-12• https://doi.org/10.1007/978-3-030-96960-8_1AbstractProcurement or tender search is where suppliers seek opportunities for providing goods, works or services that authorities, organisations and businesses require. Such opportunities are listed as procurement contract notices for which suppliers can ...
- research-article
A Game Theory Approach for Estimating Reliability of Crowdsourced Relevance Assessments
ACM Transactions on Information Systems, Volume 40, Issue 3•July 2022, Article No.: 60, pp 1-29 • https://doi.org/10.1145/3480965In this article, we propose an approach to improve quality in crowdsourcing (CS) tasks using Task Completion Time (TCT) as a source of information about the reliability of workers in a game-theoretical competitive scenario. Our approach is based on the ...
- short-paper
On Skipping Behaviour Types in Music Streaming Sessions
CIKM '21: Proceedings of the 30th ACM International Conference on Information & Knowledge Management•October 2021, pp 3333-3337• https://doi.org/10.1145/3459637.3482123The ability to skip songs is a core feature in modern online streaming services. Its introduction has led to a new music listening paradigm and has changed the way users interact with the underlying services. Thus, understanding their skipping activity ...
- Article
Towards Understanding Neuroscience of Realisation of Information Need in Light of Relevance and Satisfaction Judgement
Machine Learning, Optimization, and Data Science•October 2021, pp 41-56• https://doi.org/10.1007/978-3-030-95467-3_3AbstractUnderstanding how to satisfy searchers’ information need (IN) is the main goal of Information Retrieval (IR) systems. In this study, we investigate the relationships between information need and the two key concepts of relevance and satisfaction ...